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DIST scikit-learn-0.9.tar.gz 2275070 RMD160 db73b2b33fe37d737995c878d1ff4733c9d32642 SHA1 25f175de04efef4a999083aebf3b3367cc53fe5f SHA256 5e083180a0eedf8e964c013731da30291afec28190d6be028f1185a283aded0a
DIST scikits.learn-0.8.1.tar.gz 1575522 RMD160 f04e2ea2cf45f71ad90dcc6e5167c54787f012e5 SHA1 b846b1acce62af58b067a8aebcafd0cde271d1fc SHA256 00b3010f2cd4bc60d7ce4fd65e0ae10c398ab5366b981ee41ac3ce4b2d173c33
EBUILD scikits_learn-0.8.1.ebuild 1722 RMD160 729a4c1b00ddf1d257d531a1665da5b89084782a SHA1 d4e39483b3fcad5055aceedf9bcd47a0f3bd699d SHA256 9ea541251a3d24236c0f9b82db6c68f2c410c9f9e836f2c7a8cdc208f7b7a95b
EBUILD scikits_learn-0.9.ebuild 1867 RMD160 a80c0df8ac2f832c77e43d376220898c8cdb74c0 SHA1 71ccf49646211ff5227943d0eeb92fa18e12b54b SHA256 3beb92d49c3a0f0060f675cf907a8d8a9d22d5ee4c563c468f3e22d3f0750e34
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MISC metadata.xml 360 RMD160 b7e8ec0449f59c0dd0a7e3810b7c86b260d51530 SHA1 a54074283be9e7d2a113220e92a622b6fb4bfe45 SHA256 6d8c6ea79bfa70bc97b21c3b11454f4e47e31c20442a9ff96230d535562e945c
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